Intern-S2
Shanghai AI Lab (InternLM)🇨🇳 CNResearch· Jul 16, 2026
Intern-S2 is a multimodal foundation model for scientific intelligence and long-horizon agentic tasks. It unifies vision-language pre-training from raw scientific literature pages with large-scale multi-task reinforcement learning across 20+ domains, plus black-box agentic RL in sandboxed environments. Tool calling, images, video, and time-series inputs are supported.
Summary of the model card
- License
- apache-2.0
- Modalities
- text, image → text
4 variants
Sources
HuggingFaceBlogDeutsch
Intern-S2 ist ein multimodales Foundation-Modell für wissenschaftliche Intelligenz und langhorizontale Agentic-Tasks. Es kombiniert Vision-Language-Pretraining aus rohen Wissenschaftsseiten mit großflächigem Multi-Task-Reinforcement-Learning über mehr als 20 Domains sowie Blackbox-Agentic-RL in gesicherten Umgebungen. Es unterstuetzt Tool Calling, Bilder, Video und Zeitreihen.
Provenance
- Detected
- Sep 27, 2026
- First source
- huggingface
- Description
- Summary of the model card
- Editorially reviewed
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